code: def execute(cls, ctx, op: "DataFrameGroupbyConcatPivot"):
      inputs = [ctx[c.key] for c in op.inputs if len(ctx[c.key]) > 0]
  
      xdf = (
          pd
          if isinstance(inputs[0], (pd.DataFrame, pd.Series))
          else cudf
      )
  
      a = xdf.concat(inputs, axis=0)
      a = a.sort_index()
      index = a.index.drop_duplicates()
  
      p = len(inputs)
      if len(index) < p:
          num = p // len(index) + 1
          index = index.append([index] * (num - 1))
  
      index = index.sort_values()
  
      values = index.values
  
      slc = np.linspace(
          p - 1, len(index) - 1, num=len(op.inputs) - 1, endpoint=False
      ).astype(int)
      out = values[slc]
      ctx[op.outputs[-1].key] = out
  
imports: import numpy
  import pandas
  from ...None import opcodes
  from ...core import OutputType
  from ...core.operand import MapReduceOperand, OperandStage
  from ...serialization.serializables import Int32Field, ListField
  from ...utils import lazy_import
  from ..operands import DataFrameOperandMixin
  from ..sort.psrs import DataFramePSRSChunkOperand
label_desc: Use image node_id 2 for calling the DataFrameGroupbyConcatPivot obj's underlying member method code with example usage: obj.execute(cls, ctx, op) without return types